RCM Programme —A Dynamical Return Constraint for Consciousness: Perturbational Closure as a Cross-Theoretical Invariant

A Dynamical Return Constraint for Consciousness: Perturbational Closure as a Cross-Theoretical Invariant. This paper proposes the Return Constraint Model (RCM), a perturbation-based dynamical framework specifying four jointly necessary conditions for conscious states: global propagation (C1), directed causal return within a bounded temporal window W2 of 80–250 ms (C2), transient attractor stabilisation (C3), and structural selectivity (C4). The W2 window is derived from two independent physical mechanisms grounded in directly measurable neural anatomy — Layer 6 corticothalamic axonal conduction times (Stoelzel et al., 2017, ranging from less than 2 ms to 40–50 ms one-way) and TRN alpha gating physics — and independently corroborated by five methodological branches comprising 98 individually verified, named published sources within a structural framework sized for up to 198+ items. Applied to thalamocortical dysrhythmia, RCM generates a four-category gating failure taxonomy across nine neurological and psychiatric conditions: Tourette syndrome, absence epilepsy, ADHD, autism spectrum disorder, Parkinson's disease, tinnitus, neuropathic pain, post-concussion syndrome, and depression. The framework is substrate-neutral, explicitly falsifiable with eight stated kill conditions, and was stress-tested against six adversarial attacks before writing. This version corrects the conduction-time range and evidence-count figures stated in the previous version, and adds discussion of Fleming et al. (2023).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-25
DOI
https://doi.org/10.5281/zenodo.20846921
Primary Topic
Functional Brain Connectivity Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

RCM Programme —A Dynamical Return Constraint for Consciousness: Perturbational Closure as a Cross-Theoretical Invariant

Clifford Conway
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
preprint

RCM Programme —A Dynamical Return Constraint for Consciousness: Perturbational Closure as a Cross-Theoretical Invariant

Clifford Conway
preprint en

Abstract

A Dynamical Return Constraint for Consciousness: Perturbational Closure as a Cross-Theoretical Invariant. This paper proposes the Return Constraint Model (RCM), a perturbation-based dynamical framework specifying four jointly necessary conditions for conscious states: global propagation (C1), directed causal return within a bounded temporal window W2 of 80–250 ms (C2), transient attractor stabilisation (C3), and structural selectivity (C4). The W2 window is derived from two independent physical mechanisms grounded in directly measurable neural anatomy — Layer 6 corticothalamic axonal conduction times (Stoelzel et al., 2017, ranging from less than 2 ms to 40–50 ms one-way) and TRN alpha gating physics — and independently corroborated by five methodological branches comprising 98 individually verified, named published sources within a structural framework sized for up to 198+ items. Applied to thalamocortical dysrhythmia, RCM generates a four-category gating failure taxonomy across nine neurological and psychiatric conditions: Tourette syndrome, absence epilepsy, ADHD, autism spectrum disorder, Parkinson's disease, tinnitus, neuropathic pain, post-concussion syndrome, and depression. The framework is substrate-neutral, explicitly falsifiable with eight stated kill conditions, and was stress-tested against six adversarial attacks before writing. This version corrects the conduction-time range and evidence-count figures stated in the previous version, and adds discussion of Fleming et al. (2023).

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.